Manager, Enterprise Transformation Analytics & Automation | 303 | Flexible Location
UPS is hiring a Manager, Enterprise Transformation Analytics & Automation | 303 | Flexible Location for a remote role open to applicants in United States. It pays $109k-$165k a year and Level rates it ; you can apply on UPS.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Alteryx, SQL and Google Cloud Platform among its tools and skills.
- UPS has 2,100+ other open roles on Level.
- Posted within the past week.
AI in this role
Develop automation and analytics solutions using Alteryx and SQL to improve enterprise business processes.
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Job Description:
The Manager, Enterprise Transformation Analytics & Automation develops practical automation and analytics solutions that improve business processes, strengthen controls, and enable better decisions across the enterprise. Although the role sits within a Finance-led transformation organization, its scope extends beyond Finance to initiatives supporting Operations, Marketing, Human Resources, Information Technology, and other corporate and business functions.
This is a hands-on role for someone who can understand an end-to-end business process, identify where data and manual activity create risk or inefficiency, and build a sustainable solution. Alteryx is the primary development platform. The role also partners with data and technology teams on SQL-based analysis, Google Cloud Platform data, business intelligence reporting, data pipelines, reconciliations, and control frameworks.
Key Responsibilities
- Business process discovery: Partner with functional leaders and subject-matter experts to understand current-state processes, business rules, pain points, data dependencies, risks, controls, and desired outcomes.
- Alteryx solution development: Design, build, test, deploy, document, and support Alteryx workflows that automate data preparation, reconciliations, reporting, calculations, exception identification, and other repeatable business activities.
- Enterprise transformation delivery: Support cross-functional initiatives spanning Finance, Operations, Marketing, Human Resources, Information Technology, and other areas based on enterprise priorities.
- Analytics and decision support: Translate business questions into clear analyses, dashboards, metrics, and actionable insights for business and transformation leaders.
- Data pipelines and integration: Work with structured data from multiple systems and contribute to reliable data flows, reusable datasets, and controlled handoffs between source systems, cloud platforms, analytics tools, and reporting products.
- Data quality and controls: Build validation, reconciliation, completeness, accuracy, exception handling, auditability, and monitoring into automation and analytics solutions.
- Requirements translation: Convert business needs into documented functional requirements, data logic, workflow designs, testing scenarios, and implementation plans.
- Testing and implementation: Lead or support user acceptance testing, defect resolution, deployment, change management, training, hypercare, and transition to ongoing support.
- Reusable standards: Develop templates, documentation, design standards, and repeatable components that improve speed, consistency, maintainability, and governance.
- Stakeholder communication: Communicate progress, risks, decisions, dependencies, and value realization to business partners, technology teams, and leadership.
- Continuous improvement: Identify opportunities to simplify processes, reduce manual effort, improve controls, enhance data visibility, and scale successful solutions to additional teams.
Required Qualifications
- Education: Bachelor’s degree in Finance, Accounting, Business, Data Analytics, Information Systems, Supply Chain, Industrial Engineering, or a related field.
- Experience: Progressive experience in business analysis, process improvement, finance, operations, analytics, automation, or enterprise transformation.
- Alteryx: Hands-on experience developing Alteryx workflows, including data preparation, joins, transformations, formulas, macros or reusable components, validation, exception handling, and production support.
- Business process knowledge: Demonstrated ability to understand and document processes across multiple functions and connect operational activities, data, controls, and business outcomes.
- Analytical capability: Strong ability to investigate data, identify patterns and exceptions, reconcile results, solve ambiguous problems, and communicate practical recommendations.
- Controls mindset: Experience designing or operating data-quality checks, reconciliations, approval points, audit trails, and other controls appropriate for enterprise solutions.
- Communication: Ability to work with both business and technical stakeholders and explain requirements, logic, risks, and results in clear business language.
- Delivery: Experience managing work from discovery and design through testing, deployment, documentation, training, and support.
Preferred Qualifications
- SQL: Experience writing queries to extract, join, transform, validate, and analyze data.
- Google Cloud Platform: Experience working with Google Cloud Platform, particularly BigQuery or cloud-based enterprise datasets.
- Visualization: Experience developing dashboards or analytical reporting in Looker, Power BI, or comparable business intelligence tools.
- Broader technical skills: Familiarity with Python, APIs, ETL or ELT concepts, workflow scheduling, source control, or production monitoring.
- Enterprise systems: Experience working with data from ERP, financial, operational, customer, workforce, marketing, or other enterprise platforms.
- Transformation background: Experience delivering automation, analytics, reporting modernization, process redesign, or control-enhancement initiatives across more than one business function.
Other Criteria:
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $108,600 annually to $165,060/annually. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. Hired applicants may be eligible for Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program
- Compensation Range: 303
- Location: GACOR - Atlanta GA
- Application Deadline: Internal candidates must apply no later than 11/03/2026 by 11:59pm Eastern Time
Employee Type:
PermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.
How we rate this
Manager, Enterprise Transformation Analytics & Automation | 303 | Flexible Location at UPS rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data automation was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where process improvement was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Walk me through how you've used Alteryx in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Automation, Business Intelligence, Process Improvement, Analytics, and Alteryx. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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